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AI in Healthcare Market, Global Outlook and Forecast 2024-2030

AI in Healthcare Market, Global Outlook and Forecast 2024-2030

  • Category:ICT & Media
  • Published on : 03 February 2024
  • Pages :104
  • Formats:
  • Report Code:24MRES-7898415
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The global AI in Healthcare market was valued at US$ 28.4 billion in 2023 and is projected to reach US$ 164.4 billion by 2030, at a CAGR of 48.1% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data.
This report contains market size and forecasts of AI in Healthcare in Global, including the following market information:
Global AI in Healthcare Market Size 2025-2030, ($ millions)

According to our research, the global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry.

Artificial Intelligence (AI) is revolutionizing the healthcare industry by enhancing diagnostics, treatment plans, and operational efficiencies.

Adoption and Utilization

  • Widespread Adoption: As of 2023, approximately 85% of healthcare organizations have adopted some form of AI technology, a significant increase from just 46% in 2019.
  • Primary Applications: Diagnostic imaging (44%), patient data management (41%), and virtual nursing assistants (34%) are among the most common AI applications in healthcare settings.

Improved Diagnostics and Patient Outcomes

  • Diagnostic Accuracy: AI algorithms have demonstrated up to a 99% accuracy rate in detecting certain conditions, such as diabetic retinopathy and breast cancer, significantly reducing misdiagnosis rates.
  • Patient Outcomes: Hospitals utilizing AI for early detection of sepsis have reported a 20% reduction in mortality rates, showcasing the potential life-saving benefits of AI technologies.
Operational Efficiency and Cost Savings
  • Operational Efficiency: AI-driven automation of administrative tasks, such as patient scheduling and billing, has led to a 30% increase in operational efficiency within hospitals and clinics.
  • Cost Savings: The integration of AI is projected to save the healthcare industry over $150 billion annually by 2026 through reductions in diagnostic errors, streamlined workflows, and enhanced preventive care measures.

Patient Engagement and Satisfaction

  • Patient Engagement: Over 60% of patients reported a higher satisfaction rate when interacting with AI-driven chatbots for appointment scheduling and follow-up care, appreciating the 24/7 availability and quick responses.
  • Telehealth Services: The use of AI in telehealth has grown by 400% since 2020, driven by the COVID-19 pandemic, with 70% of patients expressing willingness to continue using telehealth services post-pandemic due to the convenience and efficiency it offers.

Healthcare Workforce Impact

  • Workforce Augmentation: AI is not replacing healthcare professionals but augmenting their capabilities. Around 75% of clinicians believe AI helps reduce their workload, allowing them to focus more on patient care.
  • Training and Development: More than 50% of medical institutions are incorporating AI training into their curriculum, preparing future healthcare professionals to work alongside AI technologies.

Future Prospects and Investments

  • Investment Growth: Investments in healthcare AI are expected to reach $45 billion by 2026, reflecting a compound annual growth rate (CAGR) of 44%.
  • AI-driven Drug Discovery: AI is expediting the drug discovery process, with AI technologies cutting the time required for drug discovery by nearly 50%, thus accelerating the development of new treatments and therapies.

 

AI is reshaping the healthcare landscape, driving significant improvements in diagnostics, patient care, operational efficiency, and cost savings. The positive reception from end-users, including both patients and healthcare professionals, underscores the transformative potential of AI in creating a more efficient, effective, and patient-centered healthcare system.

The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.

We surveyed the AI in Healthcare companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI in Healthcare Market, by Type, 2025-2030 ($ millions)
Global AI in Healthcare Market Segment Percentages, by Type

  • Hardware
  • Software
  • Services
Global AI in Healthcare Market, by Application, 2025-2030 ($ millions)
Global AI in Healthcare Market Segment Percentages, by Application
  • Patient Data and Risk Analysis
  • Lifestyle Management and Monitoring
  • Precision Medicine
  • In-Patient Care and Hospital Management
  • Medical Imaging and Diagnosis
  • Drug Discovery
  • Virtual Assistant
  • Others
Global AI in Healthcare Market, By Region and Country, 2025-2030 ($ Millions)
Global AI in Healthcare Market Segment Percentages, by region and country
  • North America (United States, Canada, Mexico)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
  • The Middle East and Africa (Middle East, Africa)
  • South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
  • Key companies AI in Healthcare revenues in global market, 2018-2023 (Estimated), ($ millions)
  • Key companies AI in Healthcare revenues share in global market, 2023 (%)
  • Key companies AI in Healthcare sales in global market, 2018-2023 (Estimated), (K Units)
  • Key companies AI in Healthcare sales share in global market, 2023 (%)
key players include:
  • NVIDIA
  • Google
  • IBM
  • Microsoft
  • General Vision
  • Enlitic
  • Next IT
  • Welltok
  • ICarbonX
  • Recursion Pharmaceuticals
  • GE
  • Siemens
  • Johnson & Johnson
  • Medtronic
  • Careskore
  • Zephyr Health
  • Oncora Medical
  • Sentrian
  • Bay Labs
  • Deep Genomics
  • Cloudmedx
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI in Healthcare, market overview.
Chapter 2: Global AI in Healthcare market size in revenue and volume.
Chapter 3: Detailed analysis of AI in Healthcare manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of AI in Healthcare in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Global AI in Healthcare capacity by region & country.
Chapter 9: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 10: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 11: The main points and conclusions of the report.

TABLE OF CONTENTS

1 Introduction to Research & Analysis Reports
1.1 AI in Healthcare Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global AI in Healthcare Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global AI in Healthcare Overall Market Size
2.1 Global AI in Healthcare Market Size: 2024 VS 2030
2.2 Global AI in Healthcare Market Size, Prospects & Forecasts: 2024-2030
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Key AI in Healthcare Players in Global Market
3.2 Global Companies AI in Healthcare Product & Technology
4 AI in Healthcare Companies Profiles
4.1 NVIDIA
4.1.1 NVIDIA Company Summary
4.1.2 NVIDIA Business Overview
4.1.3 NVIDIA AI in Healthcare Product Offerings & Technology
4.1.4 NVIDIA AI in Healthcare R&D, and Plans
4.2 Google
4.2.1 Google Company Summary
4.2.2 Google Business Overview
4.2.3 Google AI in Healthcare Product Offerings & Technology
4.2.4 Google AI in Healthcare R&D, and Plans
4.3 IBM
4.3.1 IBM Company Summary
4.3.2 IBM Business Overview
4.3.3 IBM AI in Healthcare Product Offerings & Technology
4.3.4 IBM AI in Healthcare R&D, and Plans
4.4 Microsoft
4.4.1 Microsoft Company Summary
4.4.2 Microsoft Business Overview
4.4.3 Microsoft AI in Healthcare Product Offerings & Technology
4.4.4 Microsoft AI in Healthcare R&D, and Plans
4.5 General Vision
4.5.1 General Vision Company Summary
4.5.2 General Vision Business Overview
4.5.3 General Vision AI in Healthcare Product Offerings & Technology
4.5.4 General Vision AI in Healthcare R&D, and Plans
4.6 Enlitic
4.6.1 Enlitic Company Summary
4.6.2 Enlitic Business Overview
4.6.3 Enlitic AI in Healthcare Product Offerings & Technology
4.6.4 Enlitic AI in Healthcare R&D, and Plans
4.7 Next IT
4.7.1 Next IT Company Summary
4.7.2 Next IT Business Overview
4.7.3 Next IT AI in Healthcare Product Offerings & Technology
4.7.4 Next IT AI in Healthcare R&D, and Plans
4.8 Welltok
4.8.1 Welltok Company Summary
4.8.2 Welltok Business Overview
4.8.3 Welltok AI in Healthcare Product Offerings & Technology
4.8.4 Welltok AI in Healthcare R&D, and Plans
4.9 ICarbonX
4.9.1 ICarbonX Company Summary
4.9.2 ICarbonX Business Overview
4.9.3 ICarbonX AI in Healthcare Product Offerings & Technology
4.9.4 ICarbonX AI in Healthcare R&D, and Plans
4.10 Recursion Pharmaceuticals
4.10.1 Recursion Pharmaceuticals Company Summary
4.10.2 Recursion Pharmaceuticals Business Overview
4.10.3 Recursion Pharmaceuticals AI in Healthcare Product Offerings & Technology
4.10.4 Recursion Pharmaceuticals AI in Healthcare R&D, and Plans
4.11 GE
4.11.1 GE Company Summary
4.11.2 GE Business Overview
4.11.3 GE AI in Healthcare Product Offerings & Technology
4.11.4 GE AI in Healthcare R&D, and Plans
4.12 Siemens
4.12.1 Siemens Company Summary
4.12.2 Siemens Business Overview
4.12.3 Siemens AI in Healthcare Product Offerings & Technology
4.12.4 Siemens AI in Healthcare R&D, and Plans
4.13 Johnson & Johnson
4.13.1 Johnson & Johnson Company Summary
4.13.2 Johnson & Johnson Business Overview
4.13.3 Johnson & Johnson AI in Healthcare Product Offerings & Technology
4.13.4 Johnson & Johnson AI in Healthcare R&D, and Plans
4.14 Medtronic
4.14.1 Medtronic Company Summary
4.14.2 Medtronic Business Overview
4.14.3 Medtronic AI in Healthcare Product Offerings & Technology
4.14.4 Medtronic AI in Healthcare R&D, and Plans
4.15 Careskore
4.15.1 Careskore Company Summary
4.15.2 Careskore Business Overview
4.15.3 Careskore AI in Healthcare Product Offerings & Technology
4.15.4 Careskore AI in Healthcare R&D, and Plans
4.16 Zephyr Health
4.16.1 Zephyr Health Company Summary
4.16.2 Zephyr Health Business Overview
4.16.3 Zephyr Health AI in Healthcare Product Offerings & Technology
4.16.4 Zephyr Health AI in Healthcare R&D, and Plans
4.17 Oncora Medical
4.17.1 Oncora Medical Company Summary
4.17.2 Oncora Medical Business Overview
4.17.3 Oncora Medical AI in Healthcare Product Offerings & Technology
4.17.4 Oncora Medical AI in Healthcare R&D, and Plans
4.18 Sentrian
4.18.1 Sentrian Company Summary
4.18.2 Sentrian Business Overview
4.18.3 Sentrian AI in Healthcare Product Offerings & Technology
4.18.4 Sentrian AI in Healthcare R&D, and Plans
4.19 Bay Labs
4.19.1 Bay Labs Company Summary
4.19.2 Bay Labs Business Overview
4.19.3 Bay Labs AI in Healthcare Product Offerings & Technology
4.19.4 Bay Labs AI in Healthcare R&D, and Plans
4.20 Deep Genomics
4.20.1 Deep Genomics Company Summary
4.20.2 Deep Genomics Business Overview
4.20.3 Deep Genomics AI in Healthcare Product Offerings & Technology
4.20.4 Deep Genomics AI in Healthcare R&D, and Plans
4.21 Cloudmedx
4.21.1 Cloudmedx Company Summary
4.21.2 Cloudmedx Business Overview
4.21.3 Cloudmedx AI in Healthcare Product Offerings & Technology
4.21.4 Cloudmedx AI in Healthcare R&D, and Plans
5 Sights by Region
5.1 By Region - Global AI in Healthcare Market Size, 2025 & 2030
5.2 By Region - Global AI in Healthcare Revenue, (2025-2030)
5.3 United States
5.3.1 Key Players of AI in Healthcare in United States
5.3.2 United States AI in Healthcare Development Current Situation and Forecast
5.4 Europe
5.4.1 Key Players of AI in Healthcare in Europe
5.4.2 Europe AI in Healthcare Development Current Situation and Forecast
5.5 China
5.5.1 Key Players of AI in Healthcare in China
5.5.2 China AI in Healthcare Development Current Situation and Forecast
5.6 Rest of World
6 Sights by Product
6.1 By Type - Global AI in Healthcare Market Size Markets, 2025 & 2030
6.2 Hardware
6.3 Software
6.4 Services
7 Sights by Application
7.1 By Application - Global AI in Healthcare Market Size, 2025 & 2030
7.2 Patient Data and Risk Analysis
7.3 Lifestyle Management and Monitoring
7.4 Precision Medicine
7.5 In-Patient Care and Hospital Management
7.6 Medical Imaging and Diagnosis
7.7 Drug Discovery
7.8 Virtual Assistant
7.9 Others
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer

LIST OF TABLES & FIGURES

List of Tables
Table 1. AI in Healthcare Market Opportunities & Trends in Global Market
Table 2. AI in Healthcare Market Drivers in Global Market
Table 3. AI in Healthcare Market Restraints in Global Market
Table 4. Key Players of AI in Healthcare in Global Market
Table 5. Global Companies AI in Healthcare Product & Technology
Table 6. NVIDIA Company Summary
Table 7. NVIDIA AI in Healthcare Product Offerings
Table 8. Google Company Summary
Table 9. Google AI in Healthcare Product Offerings
Table 10. IBM Company Summary
Table 11. IBM AI in Healthcare Product Offerings
Table 12. Microsoft Company Summary
Table 13. Microsoft AI in Healthcare Product Offerings
Table 14. General Vision Company Summary
Table 15. General Vision AI in Healthcare Product Offerings
Table 16. Enlitic Company Summary
Table 17. Enlitic AI in Healthcare Product Offerings
Table 18. Next IT Company Summary
Table 19. Next IT AI in Healthcare Product Offerings
Table 20. Welltok Company Summary
Table 21. Welltok AI in Healthcare Product Offerings
Table 22. ICarbonX Company Summary
Table 23. ICarbonX AI in Healthcare Product Offerings
Table 24. Recursion Pharmaceuticals Company Summary
Table 25. Recursion Pharmaceuticals AI in Healthcare Product Offerings
Table 26. GE Company Summary
Table 27. GE AI in Healthcare Product Offerings
Table 28. Siemens Company Summary
Table 29. Siemens AI in Healthcare Product Offerings
Table 30. Johnson & Johnson Company Summary
Table 31. Johnson & Johnson AI in Healthcare Product Offerings
Table 32. Medtronic Company Summary
Table 33. Medtronic AI in Healthcare Product Offerings
Table 34. Careskore Company Summary
Table 35. Careskore AI in Healthcare Product Offerings
Table 36. Zephyr Health Company Summary
Table 37. Zephyr Health AI in Healthcare Product Offerings
Table 38. Oncora Medical Company Summary
Table 39. Oncora Medical AI in Healthcare Product Offerings
Table 40. Sentrian Company Summary
Table 41. Sentrian AI in Healthcare Product Offerings
Table 42. Bay Labs Company Summary
Table 43. Bay Labs AI in Healthcare Product Offerings
Table 44. Deep Genomics Company Summary
Table 45. Deep Genomics AI in Healthcare Product Offerings
Table 46. Cloudmedx Company Summary
Table 47. Cloudmedx AI in Healthcare Product Offerings
Table 48. By Region? Global AI in Healthcare Revenue, (US$, Mn), 2025 & 2030
Table 49. By Region - Global AI in Healthcare Revenue, (US$, Mn), 2025-2030
Table 50. By Type ? Global AI in Healthcare Market Size, (US$, Mn), 2025 & 2030
Table 51. By Application? Global AI in Healthcare Market Size, (US$, Mn), 2025 & 2030
List of Figures
Figure 1. AI in Healthcare Segment by Type in 2030
Figure 2. AI in Healthcare Segment by Application in 2030
Figure 3. Global AI in Healthcare Market Overview: 2023
Figure 4. Key Caveats
Figure 5. Global AI in Healthcare Market Size: 2024 VS 2030 (US$, Mn)
Figure 6. Global AI in Healthcare Revenue, 2017-2028 (US$, Mn)
Figure 7. By Region - Global AI in Healthcare Revenue Market Share, 2025-2030
Figure 8. By Type - Global AI in Healthcare Revenue Market Share, 2025-2030
Figure 9. By Application - Global AI in Healthcare Revenue Market Share, 2025-2030

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